Predictix ™ - a user-friendly procedure that analyses genomic, clinical and demographic data to generate a personalized report on the efficacy of antidepressants and their side effects
Sector: Hospital • Location: Israel
Source: EU Funding & Tenders Portal
The World Health Organization recognizes mental disorders as one of the most significant public health challenges worldwide as measured by prevalence, burden of disease and disability, and depression as the world’s leading cause of disability. In EC and WHO action plans it is clearly requested that mental health services can be accessed without unfair financial barriers and that treatments are mad
- Status
- Closed
- Sector
- Hospital
- Location
- Israel
- Updated
- 22 Jul 2026
- Source
- EU Funding & Tenders Portal
ConstructChat
Ask ConstructChat about Predictix ™ - a user-friendly procedure that analyses genomic, clinical and demographic data to generate a personalized report on the efficacy of antidepressants and their side effects
Pick a question to edit it, or write your own.
First answer free · no account
Project Information FAQ
Project Information
Participants
| Not available for this record. |
Status
Original status | ended |
Taiyo status | Closed |
Taiyo last update | 2026-07-22 |
Contact
| Not available for this record. |
Description
Description | The World Health Organization recognizes mental disorders as one of the most significant public health challenges worldwide as measured by prevalence, burden of disease and disability, and depression as the world’s leading cause of disability. In EC and WHO action plans it is clearly requested that mental health services can be accessed without unfair financial barriers and that treatments are made available on criteria of both efficiency and financial fairness. Personalised medicine is the fastest, most economic and optimized solution to the depression treatment problem. The current push for a cost effective personalised medicine based on IT solution will also help with the commercialisation of our Predictix™ platform. The platform will allow medical practitioners to have up-to-date and accurate knowledge on each case and improve the care that patient receives, with an economic revenue too. Our solution allows for better delivery of available treatments – noted as a vital factor for increasing remission. Taliaz was founded in 2012 by Dr. Dekel Taliaz and Oren Taliaz. Our mission is to set a new standard in personalized medicine improving quality of life for patients suffering from depression. Taliaz takes advantage of in-house expertise in genetics, data science and central nervous system related disease with the advancements in genetic sequencing and machine learning technologies, to develop leading personal medicine proprietary IP solutions for depression. Our future vision is to use Predictix™ also as a decision support tool for common health concerns such as ADHD and Anxiety. The SME Instrument project perfectly fits our strategy and vision by enabling a fast finalisation of the platform development and by providing us the resources necessary to demonstrate the benefits of Predictix™ through a large clinical study. |
Location
Country | Israel |
Source
Source | EU Funding & Tenders Portal |
URL |
More Details
Record type | Project |
Sector | Hospital |
Article published date | 2026-02-15 |
Research
Free account
View all details
You are reading the public part. A free account opens the rest:
- Every detail on this project
- News and media coverage
- Technical research
Free account · no card · lands you back on this project
More Hospital projects in Israel
- SOREK II DESALINATION PLANT
- New Performances for Mediterranean Tourism
- Immune checkpoint blockade for fighting Alzheimer’s disease
- Transcriptomic m1A - a new key player in the epitranscriptome arena
- Easy to use, contactless Dual-Mode Ultrasound Technology for high accuracy treatment of Atrial Fibrillation, improving outcomes
- Stem cell isolation and transplantation in Hexacorallia: Toward cell-therapy for corals
- Redefining the term 'Incubation Period' using large-scale digital data
- A regional history of medicine in the modern Middle East, 1830-1960
